Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/151451
Title: A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
Author: Benito Altamirano, Ismael  
Martínez-Carpena, David  
Casals, Olga  
Fàbrega, Cristian  
Waag, Andreas  
Prades, J. Daniel  
Citation: Benito-Altamirano, I., Martínez-Carpena, D., Casals, O., Fàbrega, C., Waag, A., & Prades, J. D. (2023). A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions. Data in Brief, 46, 108780.
Abstract: Color QR Codes are often generated to encode digital information, but one also could use colors or to allocate colors in a QR Code to act as a color calibration chart. In this dataset, we present several thousand QR Codes images generated with two different colorization algorithms (random and back-compatible) and several tuning variables in these color encoding. The QR Codes were also exposed to three different channel conditions (empty, augmentation and real-life). Also, we derive the SNR and BER computations for these QR Code in comparison with their black and white versions. Finally, we also show if ZBar, a commercial QR Code scanner, is able to read them.
Keywords: barcodes
QR codes
color correction
color calibration
colorchecker
colorimetry
DOI: http://doi.org/10.1016/j.dib.2022.108780
Document type: info:eu-repo/semantics/article
Version: info:eu-repo/semantics/publishedVersion
Issue Date: 1-Dec-2022
Publication license: https://creativecommons.org/licenses/by/4.0/  
Linked data: http://doi.org/10.17632/35kj4v96cm.2
Appears in Collections:Articles cientÍfics
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